NVIDIA Jetson Edge AI Systems: Nano to AGX Orin — Which One Fits Your Project?
NVIDIA's Jetson platform powers the edge AI revolution — from smart cameras to autonomous robots. But with seven models spanning 0.5 TFLOPS to 275 TOPS, choosing the right one isn't obvious. Here's a practical breakdown.
The Full Lineup
| Model | Jetson Platform | GPU | AI Performance | Memory | Power | Form Factor |
|---|---|---|---|---|---|---|
| EA-B100 | Nano | Maxwell 128-core | 0.5 TFLOPS (FP16) | 4 GB LPDDR4 | 5-15W | 122×65×43mm, 0.5KG |
| EA-B200 | TX2 NX | Pascal 256-core | 1.33 TFLOPS (FP16) | 4 GB LPDDR4 | 7.5-36W | 153×101×45mm, 1.1KG |
| EA-B310 | Xavier NX | Volta 384-core + 48 Tensor | 21 TOPS (INT8) | 8 GB LPDDR4X | 10-36W | 189×97×58mm, 1.2KG |
| EA-B400 | AGX Xavier | Volta 512-core + 64 Tensor | 32 TOPS (INT8) | 32 GB LPDDR4X | 10-65W | 226×144×70mm, 3.5KG |
| EA-B500E | Orin Nano | Ampere 512/1024-core + 32 Tensor | 20/40 TOPS (INT8) | 4/8 GB LPDDR5 | 10-60W | 240×154×84mm, 2.9KG |
| EA-B500 | Orin NX | Ampere 1024-core + 32 Tensor | 70/100 TOPS (INT8) | 16 GB LPDDR5 | 10-60W | 240×154×84mm, 2.9KG |
| EA-B600 | AGX Orin | Ampere 1792-core + 56 Tensor | 200/275 TOPS (INT8) | 32 GB LPDDR5 | 15-75W | 285×190×80mm, 4.2KG |
By Use Case
Entry-Level Vision (0.5-40 TOPS)
EA-B100 / EA-B200 / EA-B500E
Smart cameras, basic object detection, barcode scanning, IoT gateways. These sip power (5-15W) and cost the least. The EA-B500E at 40 TOPS is the sweet spot — Ampere architecture, 4K encode/decode, and fanless operation at -20°C to 80°C.
Mainstream Edge AI (70-100 TOPS)
EA-B310 / EA-B500
Multi-stream video analytics, industrial inspection, autonomous mobile robots (AMR). The EA-B500 on Orin NX delivers 100 TOPS in a compact 240×154mm chassis. 16 GB LPDDR5 at 102.4 GB/s handles multiple concurrent models.
Heavy-Duty Inference (200-275 TOPS)
EA-B400 / EA-B600
Multi-sensor fusion, real-time traffic analysis, medical imaging inference. The EA-B600 (AGX Orin) hits 275 TOPS with 32 GB LPDDR5 at 205 GB/s. 10GbE networking, GMSL camera inputs, and PoE options make it deployment-ready for smart city and factory automation.
Key Decision Factors
- AI Workload: How many models? What precision (FP16 vs INT8)? Concurrent streams?
- Thermal Envelope: Fanless = ≤40W typically. Above that needs active cooling.
- I/O Requirements: GMSL cameras? PoE? CAN Bus? 10GbE? Match the model to your sensors.
- Lifecycle: All EA-B series are industrial-grade with 5+ year availability.
- Scaling: Start with EA-B500E (40 TOPS) for PoC, deploy EA-B600 (275 TOPS) in production.
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